01254nam0 22003011i 450 UON0027370220231205103805.49620060222d2005 |0itac50 basomKE|||| |||||ˆAt-‰Tarbiya al-Islamiyya. 8Muhammad Haji Umar Sheykh Muhammad, Muhammad Luqman Samow, Muhammad Jama DalmarNairobiWazarat at-Tarbiya wa-t-talim ; Unesco3005226 p.25 cmLINGUA SOMALAApprendimentoUONC023081FIKENairobiUONL000730495.5LINGUA SOMALA - Apprendimento21MUHAMMAD HAJI OMAR Sheykh MuhammadUONV154683690244MUHAMMAD Luqman SamowUONV158652690254MUHAMMAD Jama DalmarUONV158653Unesco PublishingUONV247821650Wazarat at-tarbiya wa-t-talimUONV270859650ITSOL20240220RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSIUON00273702SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI ET CO II C som 036/8 SI AA 27320 5 036/8 Tarbiya al-Islamiyya. 81850877UNIOR02919nam 2200781Ia 450 991101967880332120200520144314.09786610541782978128054178012805417849780470304044047030404997804714608310471460834978160119556216011955679780471439202047143920710.1002/0471439207(CKB)111087027114132(EBL)157052(SSID)ssj0000072778(PQKBManifestationID)11110322(PQKBTitleCode)TC0000072778(PQKBWorkID)10103798(PQKB)10278119(MiAaPQ)EBC157052(CaBNVSL)mat05236635(IDAMS)0b00006481094ccf(IEEE)5236635(OCoLC)85820084(PPN)257365737(Perlego)2766327(EXLCZ)9911108702711413220020618d2002 uy 0engur|n|---|||||txtccrPrinciples of random signal analysis and low noise design the power spectral density and its applications /Roy M. HowardNew York Wileyc20021 online resource (324 p.)Description based upon print version of record.9780471226178 0471226173 Includes bibliographical references (p. 302-306) and index.Preface. About the Author. Introduction. Background: Signal and System Theory. The Power Spectral Density. Power Spectral Density Analysis. Power Spectral Density of Standard Random Processes -- Part 1. Power Spectral Density of Standard Random Processes -- Part 2. Memoryless Transformations of Random Processes. Linear System Theory. Principles of Low Noise Electronic Design. Notation. References. Index.. Describes the leading techniques for analyzing noise.. Discusses methods that are applicable to periodic signals, aperiodic signals, or random processes over finite or infinite intervals.. Provides readers with a useful reference when designing or modeling communications systems.Power spectraRandom noise theorySignal detectionElectronic noiseElectronic circuitsNoisePower spectra.Random noise theory.Signal detection.Electronic noise.Electronic circuitsNoise.621.38224Howard Roy M322948MiAaPQMiAaPQMiAaPQBOOK9911019678803321Principles of random signal analysis and low noise design776293UNINA